Profanity Remover

This Python script uses speech recognition and audio manipulation to censor profanity in an audio file. It transcribes the audio, searches for profanity keywords, and replaces them with asterisks. The script then applies silence to the original audio file based on the location of profanity, effectively "muting" profane sections. The output is a new audio file with profanity silenced.

Requirements

• Python 3.x
• openai-whisper
• pydub
• whisper
• ffmpeg

Installation

1. Clone the repository:

git clone https://github.com/mikedixson/profanity-remover.git
cd profanity-remover

2. Install the required Python packages:

pip install -r requirements.txt

3. Install ffmpeg Here are some commands for installing ffmpeg using common package managers:

• For Ubuntu/Debian:

  sudo apt-get update
  sudo apt-get install ffmpeg

• For macOS (using Homebrew):

  brew install ffmpeg

• For Windows (Using Choco):

  choco install ffmpeg-full

Make sure that after installing ffmpeg, it is added to your system's PATH so that it can be accessed by other programs, including pydub in the provided script.

Usage

Run the script using the following command:

python profanity_remover.py input_audio.mp3 output_audio.mp3

Replace input_audio.mp3 with the path to your input audio file and output_audio.mp3 with the desired output file name.

Example

python profanity_remover.py example_audio.mp3 silenced_output.mp3

This will transcribe the audio, censor profanity, mute the profane sections, and save the result as silenced_output.mp3.

Issues and Contributions

If you encounter any issues or have suggestions for improvements, feel free to open an issue on the GitHub repository.

Contributions are welcome! Fork the repository, make your changes, and submit a pull request.